Colab/Jupyter tutorials about training TensorFlow models for Edge TPU, and other tutorials

My notes on various HPC papers.

Jetson Benchmark

This is an official implementation for "Video Swin Transformers".

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

[ICCV 2021 Oral] Deep Evidential Action Recognition

Spatio-Temporal Classification of 🏀 Basketball Actions using 3D-CNN Models on the SpaceJam Dataset.

Deep human action recognition and pose estimation

Codes for popular action recognition models, verified on the something-something data set.

Exploration of different solutions to action recognition in video, using neural networks implemented in PyTorch.

[TCSVT 2024] Official implementation of the paper: Benchmarking Micro-action Recognition: Dataset, Methods, and Applications

Code and models for the Action Recognition benchmark of Assembly101

Deep Learning Project.

BEAR: a new BEnchmark on video Action Recognition

♾A curated list of papers and code about very deep neural networks

📖 MIT Deep Learning Book in PDF format

An interactive script to download and build OpenCV and OpenCV contrib for Android

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Notes I'm taking when reading books

Language Model GRU with Python and Theano

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

Implementing a Neural Network from Scratch

Summaries and notes on Deep Learning research papers

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

PyTorch tutorials and best practices.

Learning Machine Learning with TensorFlow

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

A best practice for tensorflow project template architecture.

📄 Awesome CV is LaTeX template for your outstanding job application